The Sexual Health And Attitudes Of Australian Prisoners
Funder
National Health and Medical Research Council
Funding Amount
$1,605,706.00
Summary
The second Sexual Health and Attitudes of Australian Prisoners study will be the largest population-based survey of prisoners’ sexual health, attitudes and behaviour undertaken in Australia. it has been nearly 10 years since the first survey. The 2nd survey will expand survey coverage and examine vulnerable prisoner subgroup, and provide up-to-date evidence essential to sexual and reproductive health policy and practice for this growing and disadvantaged population.
Sexual And Reproductive Health And Behaviours Of Young Offenders (14-18 Years) In NSW & Qld
Funder
National Health and Medical Research Council
Funding Amount
$869,730.00
Summary
Young Indigenous and non-Indigenous offenders in Australia aged 14 and 15 years have never been systematically surveyed regarding their sexual and reproductive health in Australia. Thus we have little information on which to base education and policy initiatives. To address this knowledge gap we will systematically survey young people in contact with the juvenile justice system aged 14-18 years to provide a comprehensive picture of their sexual and reproductive behaviours and needs.
Inventiveness and the progress of product innovation. Quantitative models of inventiveness will be used to forecast the potential rate of improvement of a technology and to re-design products to improve more rapidly and steadily. By focusing on innovation in products and technologies in energy conversion, this research can guide development funding for low-carbon energy generation.
How is information organised in the mind? Learning structured mental representations from data. One of the biggest questions in psychology is to understand the principles that the mind uses to organise information. This project is both a search for these underlying psychological laws, and an attempt to develop new statistical technologies and mathematical tools that can be used to organise information in applied settings.
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less
Faithful Visual Analytics: models, metrics and algorithms. This project aims to deliver new models, metrics and algorithms for Faithful Visual Analytics of complex data. For a purported visual representation of some data, "faithfulness" measures how accurately the visual representation describes the data. This project will develop new models for Faithful Visual Analytics, design new faithfulness metrics for faithful visual analytics of complex networks, design new algorithms to compute faithful ....Faithful Visual Analytics: models, metrics and algorithms. This project aims to deliver new models, metrics and algorithms for Faithful Visual Analytics of complex data. For a purported visual representation of some data, "faithfulness" measures how accurately the visual representation describes the data. This project will develop new models for Faithful Visual Analytics, design new faithfulness metrics for faithful visual analytics of complex networks, design new algorithms to compute faithful visualisations, and evaluate using real world social network and biological network data sets. The new models, metrics and algorithms produced by this project will be used in the next generation Visual Analytic tools to enable analysts develop accurate insights and new knowledge of complex data.Read moreRead less
Wideband Silicon-Based Radio-Frequency Front-End Module for 5G New Radio . The project aims to advance knowledge in radio-frequency integrated circuit design in low-cost silicon technologies, particularly power amplifiers design with enhanced energy efficiency at output power back-off levels. The intended outcome of this project will be a wideband RF front-end module with beam steering capability that can cover the 24-50 GHz spectrum band. This will ultimately enable the creation of a low-cost a ....Wideband Silicon-Based Radio-Frequency Front-End Module for 5G New Radio . The project aims to advance knowledge in radio-frequency integrated circuit design in low-cost silicon technologies, particularly power amplifiers design with enhanced energy efficiency at output power back-off levels. The intended outcome of this project will be a wideband RF front-end module with beam steering capability that can cover the 24-50 GHz spectrum band. This will ultimately enable the creation of a low-cost and energy-efficient 5G millimetre-wave network that could potentially trigger the development of ultra-reliable low latency communications, which is critical for emerging intelligent transportation systems and will maintain Australia’s leadership position in the development of break-through wireless technology.Read moreRead less
Low-Cost Wireless Transmitter with Compact Package for Industrial Sensing . This project aims to provide a solid foundation for silicon-based transmitter design with beam-steering capability operating beyond 100 GHz. The project expects to advance knowledge in low-cost radio-frequency integrated circuit design with miniaturised packaging technology for use in industrial sensing. Expected outcomes of this project include a prototype consisting of a miniaturised 140-GHz phased-array transmitter wi ....Low-Cost Wireless Transmitter with Compact Package for Industrial Sensing . This project aims to provide a solid foundation for silicon-based transmitter design with beam-steering capability operating beyond 100 GHz. The project expects to advance knowledge in low-cost radio-frequency integrated circuit design with miniaturised packaging technology for use in industrial sensing. Expected outcomes of this project include a prototype consisting of a miniaturised 140-GHz phased-array transmitter with packaged antenna arrays, along with a developed selection guideline to choose the "best" silicon-based technology node for cost-effective design. This should provide benefits for organisations working on wireless sensing technologies and lead to new ways of using these technologies for a variety of emerging applications.Read moreRead less
Active Segmentation for Cooperative Mobile Robots in Outdoor Environments. The objective of this project is to develop a principled understanding of how to improve the segmentation of three-dimensional range data in a cooperative manner by judiciously choosing future sensor viewpoints of a team of mobile robots. The viewpoint of the robot affects both the density of three-dimensional data points and the areas that are unobservable due to occlusions. Project outcomes will open up a whole new appr ....Active Segmentation for Cooperative Mobile Robots in Outdoor Environments. The objective of this project is to develop a principled understanding of how to improve the segmentation of three-dimensional range data in a cooperative manner by judiciously choosing future sensor viewpoints of a team of mobile robots. The viewpoint of the robot affects both the density of three-dimensional data points and the areas that are unobservable due to occlusions. Project outcomes will open up a whole new approach to the process of autonomously gathering information about objects in outdoor environments, will synergise with existing classification and motion planning methods, and will support Australia's continued role as a leader in field robotics research.Read moreRead less
Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distribute ....Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distributed computing environment, and evaluate with a real world social network and biological network data sets. The new algorithms produced by this project will be used in the next generation visual analytic tools for extreme-scale data to enable analysts develop new insights and new knowledge of extreme-scale data.Read moreRead less